Postnatal Tshz3 Deletion Drives Altered Corticostriatal Function and Autism Spectrum Disorder-like Behavior

BACKGROUND

Heterozygous deletion of the TSHZ3 gene, encoding for the teashirt zinc-finger homeobox family member 3 (TSHZ3) transcription factor that is highly expressed in cortical projection neurons (CPNs), has been linked to an autism spectrum disorder (ASD) syndrome. Similarly, mice with Tshz3 haploinsufficiency show ASD-like behavior, paralleled by molecular changes in CPNs and corticostriatal synaptic dysfunctions. Here, we aimed at gaining more insight into "when" and "where" TSHZ3 is required for the proper development of the brain, and its deficiency crucial for developing this ASD syndrome.

METHODS

We generated and characterized a novel mouse model of conditional Tshz3 deletion, obtained by crossing Tshz3^flox/flox with CaMKIIalpha-Cre mice, in which Tshz3 is deleted in CPNs from postnatal day 2 to 3 onward. We characterized these mice by a multilevel approach combining genetics, cell biology, electrophysiology, behavioral testing, and bioinformatics.

RESULTS

These conditional Tshz3 knockout mice exhibit altered cortical expression of more than 1000 genes, ∼50% of which have their human orthologue involved in ASD, in particular genes encoding for glutamatergic synapse components. Consistently, we detected electrophysiological and synaptic changes in CPNs and impaired corticostriatal transmission and plasticity. Furthermore, these mice showed strong ASD-like behavioral deficits.

CONCLUSIONS

Our study reveals a crucial postnatal role of TSHZ3 in the development and functioning of the corticostriatal circuitry and provides evidence that dysfunction in these circuits might be determinant for ASD pathogenesis. Our conditional Tshz3 knockout mouse constitutes a novel ASD model, opening the possibility for an early postnatal therapeutic window for the syndrome linked to TSHZ3 haploinsufficiency.

TSHZ3 deletion causes an autism syndrome and defects in cortical projection neurons

TSHZ3, which encodes a zinc-finger transcription factor, was recently positioned as a hub gene in a module of the genes with the highest expression in the developing human neocortex, but its functions remained unknown. Here we identify TSHZ3 as the critical region for a syndrome associated with heterozygous deletions at 19q12-q13.11, which includes autism spectrum disorder (ASD). In Tshz3-null mice, differentially expressed genes include layer-specific markers of cerebral cortical projection neurons (CPNs), and the human orthologs of these genes are strongly associated with ASD. Furthermore, mice heterozygous for Tshz3 show functional changes at synapses established by CPNs and exhibit core ASD-like behavioral abnormalities. These findings highlight essential roles for Tshz3 in CPN development and function, whose alterations can account for ASD in the newly defined TSHZ3 deletion syndrome.

Defining a modular signalling network from the fly interactome

Background

Signalling pathways relay information by transmitting signals from cell surface receptors to intracellular effectors that eventually activate the transcription of target genes. Since signalling pathways involve several types of molecular interactions including protein-protein interactions, we postulated that investigating their organization in the context of the global protein-protein interaction network could provide a new integrated view of signalling mechanisms.

Results

Using a graph-theory based method to analyse the fly protein-protein interaction network, we found that each signalling pathway is organized in two to three different signalling modules. These modules contain canonical proteins of the signalling pathways, known regulators as well as other proteins thereby predicted to participate to the signalling mechanisms. Connections between the signalling modules are prominent as compared to the other network's modules and interactions within and between signalling modules are among the more central routes of the interaction network.

Conclusion

Altogether, these modules form an interactome sub-network devoted to signalling with particular topological properties: modularity, density and centrality. This finding reflects the integration of the signalling system into cell functioning and its important role connecting and coordinating different biological processes at the level of the interactome.

TreeDyn: towards dynamic graphics and annotations for analyses of trees

Background

Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now available, but existing tree visualization tools make little use of meta-information related to the entities under study such as taxonomic descriptions or gene functions that can hardly be encoded within the tree itself (if using popular tree formats). Consequently, a tedious manual analysis and post-processing of the tree graphics are required if one needs to use external information for displaying or investigating trees.

Results

We have developed TreeDyn, a tool using annotations and dynamic graphical methods for editing and analyzing multiple trees. The main features of TreeDyn are 1) the management of multiple windows and multiple trees per window, 2) the export of graphics to several standard file formats with or without HTML encapsulation and a new format called TGF, which enables saving and restoring graphical analysis, 3) the projection of texts or symbols facing leaf labels or linked to nodes, through manual pasting or by using annotation files, 4) the highlight of graphical elements after querying leaf labels (or annotations) or by selection of graphical elements and information extraction, 5) the highlight of targeted trees according to a source tree browsed by the user, 6) powerful scripts for automating repetitive graphical tasks, 7) a command line interpreter enabling the use of TreeDyn through CGI scripts for online building of trees, 8) the inclusion of a library of packages dedicated to specific research fields involving trees.

Conclusion

TreeDyn is a tree visualization and annotation tool which includes tools for tree manipulation and annotation and uses meta-information through dynamic graphical operators or scripting to help analyses and annotations of single trees or tree collections.

PRODISTIN Web Site: a tool for the functional classification of proteins from interaction networks

The PRODISTIN Web Site is a web service allowing users to functionally classify genes/proteins from any type of interaction network. The resulting computation provides a classification tree in which (1) genes/proteins are clustered according to the identity of their interaction partners and (2) functional classes are delineated in the tree using the Biological Process Gene Ontology annotations.

AVAILABILITY

The PRODISTIN Web Site is freely accessible at http://gin.univ-mrs.fr/webdistin

Protein interaction mapping: a Drosophila case study

The Drosophila (fruit fly) model system has been instrumental in our current understanding of human biology, development, and diseases. Here, we used a high-throughput yeast two-hybrid (Y2H)-based technology to screen 102 bait proteins from Drosophila melanogaster, most of them orthologous to human cancer-related and/or signaling proteins, against high-complexity fly cDNA libraries. More than 2300 protein-protein interactions (PPI) were identified, of which 710 are of high confidence. The computation of a reliability score for each protein-protein interaction and the systematic identification of the interacting domain combined with a prediction of structural/functional motifs allow the elaboration of known complexes and the identification of new ones. The full data set can be visualized using a graphical Web interface, the PIMRider (http://pim.hybrigenics.com), and is also accessible in the PSI standard Molecular Interaction data format. Our fly Protein Interaction Map (PIM) is surprisingly different from the one recently proposed by Giot et al. with little overlap between the two data sets. Analysis of the differences in data sets and methods suggests alternative strategies to enhance the accuracy and comprehensiveness of the post-genomic generation of broad-scale protein interaction maps.

GOToolBox: functional analysis of gene datasets based on Gene Ontology

Tools are presented to identify Gene Ontology terms that are over- or under-represented in a dataset, to cluster genes by function and to find genes with similar annotations.

We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identification of statistically over- or under-represented terms in a gene dataset; the clustering of functionally related genes within a set; and the retrieval of genes sharing annotations with a query gene. GO annotations can also be constrained to a slim hierarchy or a given level of the ontology. The source codes are available upon request, and distributed under the GPL license.

A scale of functional divergence for yeast duplicated genes revealed from analysis of the protein-protein interaction network

BACKGROUND

Studying the evolution of the function of duplicated genes usually implies an estimation of the extent of functional conservation/divergence between duplicates from comparison of actual sequences. This only reveals the possible molecular function of genes without taking into account their cellular function(s). We took into consideration this latter dimension of gene function to approach the functional evolution of duplicated genes by analyzing the protein-protein interaction network in which their products are involved. For this, we derived a functional classification of the proteins using PRODISTIN, a bioinformatics method allowing comparison of protein function. Our work focused on the duplicated yeast genes, remnants of an ancient whole-genome duplication.

RESULTS

Starting from 4,143 interactions, we analyzed 41 duplicated protein pairs with the PRODISTIN method. We showed that duplicated pairs behaved differently in the classification with respect to their interactors. The different observed behaviors allowed us to propose a functional scale of conservation/divergence for the duplicated genes, based on interaction data. By comparing our results to the functional information carried by GO annotations and sequence comparisons, we showed that the interaction network analysis reveals functional subtleties, which are not discernible by other means. Finally, we interpreted our results in terms of evolutionary scenarios.

CONCLUSIONS

Our analysis might provide a new way to analyse the functional evolution of duplicated genes and constitutes the first attempt of protein function evolutionary comparisons based on protein-protein interactions.

The HUPO PSI's molecular interaction format--a community standard for the representation of protein interaction data

A major goal of proteomics is the complete description of the protein interaction network underlying cell physiology. A large number of small scale and, more recently, large-scale experiments have contributed to expanding our understanding of the nature of the interaction network. However, the necessary data integration across experiments is currently hampered by the fragmentation of publicly available protein interaction data, which exists in different formats in databases, on authors' websites or sometimes only in print publications. Here, we propose a community standard data model for the representation and exchange of protein interaction data. This data model has been jointly developed by members of the Proteomics Standards Initiative (PSI), a work group of the Human Proteome Organization (HUPO), and is supported by major protein interaction data providers, in particular the Biomolecular Interaction Network Database (BIND), Cellzome (Heidelberg, Germany), the Database of Interacting Proteins (DIP), Dana Farber Cancer Institute (Boston, MA, USA), the Human Protein Reference Database (HPRD), Hybrigenics (Paris, France), the European Bioinformatics Institute's (EMBL-EBI, Hinxton, UK) IntAct, the Molecular Interactions (MINT, Rome, Italy) database, the Protein-Protein Interaction Database (PPID, Edinburgh, UK) and the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING, EMBL, Heidelberg, Germany).

Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network

We here describe PRODISTIN, a new computational method allowing the functional clustering of proteins on the basis of protein-protein interaction data. This method, assessed biologically and statistically, enabled us to classify 11% of the Saccharomyces cerevisiae proteome into several groups, the majority of which contained proteins involved in the same biological process(es), and to predict a cellular function for many otherwise uncharacterized proteins.

Approach of the functional evolution of duplicated genes in Saccharomyces cerevisiae using a new classification method based on protein-protein interaction data

The concept of protein function is widely used and manipulated by biologists. However, the means of the concept and its understanding may vary depending on the level of functionality one considers (molecular, cellular, physiological, etc.). Genomic studies and new high-throughput methods of the post-genomic era provide the opportunity to shed a new light on the concept of protein function: protein-protein interactions can now be considered as pieces of incomplete but still gigantic networks and the analysis of these networks will permit the emergence of a more integrated view of protein function. In this context, we propose a new functional classification method, which, unlike usual methods based on sequence homology, allows the definition of functional classes of protein based on the identity of their interacting partners. An example of such classification will be shown and discussed for a subset of Saccharomyces cerevisiae proteins, accounting for 7% of the yeast proteome. The genome of the budding yeast contains 50% of protein-coding genes that are paralogs, including 457 pairs of duplicated genes coming probably from an ancient whole genome duplication. We will comment on the functional classification of the duplicated genes when using our method and discuss the contribution of these results to the understanding of function evolution for the duplicated genes.

Genome-wide identification of in vivo Drosophila Engrailed-binding DNA fragments and related target genes

Chromatin immunoprecipitation after UV crosslinking of DNA/protein interactions was used to construct a library enriched in genomic sequences that bind to the Engrailed transcription factor in Drosophila embryos. Sequencing of the clones led to the identification of 203 Engrailed-binding fragments localized in intergenic or intronic regions. Genes lying near these fragments, which are considered as potential Engrailed target genes, are involved in different developmental pathways, such as anteroposterior patterning, muscle development, tracheal pathfinding or axon guidance. We validated this approach by in vitro and in vivo tests performed on a subset of Engrailed potential targets involved in these various pathways. Finally, we present strong evidence showing that an immunoprecipitated genomic DNA fragment corresponds to a promoter region involved in the direct regulation of frizzled2 expression by engrailed in vivo.

Protein function from the perspective of molecular interactions and genetic networks

Protein function is a complex notion, which is now receiving renewed attention from a bioinformatics and genomics perspective. After a general discussion of the principles of experimental methods employed to decipher gene/protein function, the contributions made by new, high-throughput methods in terms of function discovery are discussed. Recent work on functional ontologies and the necessity to describe function within the context of hierarchical levels of complexity are presented. The concepts of molecular interactions and genetic networks are then discussed, leading to a useful new framework with which to describe protein function using new tools such as 2D interaction maps. Finally, it is proposed that interaction data could be used to develop new methods for the functional classification of proteins. An example of functional comparisons on a real data set of yeast chromosomal proteins is presented.

Grasping at molecular interactions and genetic networks in Drosophila melanogaster using FlyNets, an Internet database

FlyNets (http://gifts.univ-mrs.fr/FlyNets/FlyNets_home_page.++ +html) is a WWW database describing molecular interactions (protein-DNA, protein-RNA and protein-protein) in the fly Drosophila melanogaster. It is composed of two parts, as follows. (i) FlyNets-base is a specialized database which focuses on molecular interactions involved in Drosophila development. The information content of FlyNets-base is distributed among several specific lines arranged according to a GenBank-like format and grouped into five thematic zones to improve human readability. The FlyNets database achieves a high level of integration with other databases such as FlyBase, EMBL, GenBank and SWISS-PROT through numerous hyperlinks. (ii) FlyNets-list is a very simple and more general databank, the long-term goal of which is to report on any published molecular interaction occuring in the fly, giving direct web access to corresponding s in Medline and in FlyBase. In the context of genome projects, databases describing molecular interactions and genetic networks will provide a link at the functional level between the genome, the proteome and the transcriptome worlds of different organisms. Interaction databases therefore aim at describing the contents, structure, function and behaviour of what we herein define as the interactome world.

Mutations in ccf, a novel Drosophila gene encoding a chromosomal factor, affect progression through mitosis and interact with Pc-G mutations

We report herein the isolation of ccf, a new gene located in region 82E and essential for Drosophila development. This gene, expressed throughout development, encodes a novel product of 68 kDa which is found in the nucleus during interphase and labels, in a novel pattern, centrosomes and chromosome arms during mitosis. Mutations in ccf give rise to late larvae with small imaginal discs and to adults showing appendages of reduced size, consistent with CCF involvement in cell proliferation. Neuroblast squash analyses show that CCF is required for proper condensation of mitotic chromosomes and, therefore, for progression through mitosis. Furthermore, we observe that adult ccf mutants as well as animals overexpressing CCF during larval stages exhibit homeotic transformations. We also find that mutations in the Pc-G genes Polycomb, polyhomeotic and Enhancer of zeste are enhanced by ccf mutations. Finally, we show that the CCF protein binds to specific sites on polytene chromosomes, many of which are shared with the Posterior sex combs Pc-G protein. Together, these results suggest a role for the CCF protein in the maintenance of chromosome structure during mitosis and interphase.

FlyNets and GIF-DB, two internet databases for molecular interactions in Drosophila melanogaster

GIF-DB and FlyNets are two WWW databases describing molecular (protein-DNA, protein-RNA and protein-protein) interactions occuring in the fly Drosophila melanogaster (http://gifts.univ-mrs.fr/GIFTS_home_page.html ). GIF-DB is a specialised database which focuses on molecular interactions involved in the process of embryonic pattern formation, whereas FlyNets is a new and more general database, the long-term goal of which is to report on any published molecular interaction occuring in the fly. The information content of both databases is distributed in specific lines arranged into an EMBL- (or GenBank-) like format. These databases achieve a high level of integration with other databases such as FlyBase, EMBL, GenBank and SWISS-PROT through numerous hyperlinks. In addition, we also describe SOS-DGDB, a new collection of annotated Drosophila gene sequences, in which binding sites for regulatory proteins are directly visible on the DNA primary sequence and hyperlinked both to GIF-DB and TRANSFAC database entries.

A knowledge base for D. melanogaster gene interactions involved in pattern formation

The understanding of pattern formation in Drosophila requires the handling of the many genetic and molecular interactions which occur between developmental genes. For that purpose, a knowledge base (KNIFE) has been developed in order to structure and manipulate the interaction data. KNIFE contains data about interactions published in the literature and gathered from various databases. These data are structured in an object knowledge representation system into various interrelated entities. KNIFE can be browsed through a WWW interface in order to select, classify and examine the objects and their references in other bases. It also provides specialised biological tools such as interaction network manipulation and diagnosis of missing interactions.

GIF-DB, a WWW database on gene interactions involved in Drosophila melanogaster development

GIF-DB (Gene Interactions in the Fly Database) is a new WWW database (http://www-biol.univ-mrs.fr/ approximately lgpd/GIFTS_home_page. html ) describing gene molecular interactions involved in the process of embryonic pattern formation in the flyDrosophila melanogaster. The detailed information is distributed in specific lines arranged into an EMBL- (or SWISS-PROT-) like format. GIF-DB achieves a high level of integration with other databases such as FlyBase, EMBL and SWISS-PROT through numerous hyperlinks. The original concept of interaction databases examplified by GIF-DB could be extended to other biological subjects and organisms so as to study gene regulatory networks in an evolutionary perspective.

The Drosophila teashirt homeotic protein is a DNA-binding protein and modulo, a HOM-C regulated modifier of variegation, is a likely candidate for being a direct target gene

The Drosophila teashirt (tsh) gene has an homeotic function which, in combination with HOM-C genes, determines thoracic and abdominal (trunk) identities. Analysis of TSH protein distribution during embryogenesis using a specific polyclonal antibody shows that it is nuclear. The protein is present with regional modulation in several tissues within the trunk, suggesting additional tsh functions to those already studied. We identified a candidate tsh target shared with some HOM-C genes, the modifier of variegation gene modulo (mod). The TSH zinc-finger protein recognizes in vitro two specific sites within a 5' control element of the mod gene which responds in vivo to tsh activity. TSH is therefore a DNA binding protein and might directly control mod expression.

Homeotic complex and teashirt genes co-operate to establish trunk segmental identities in Drosophila

Homeotic genes determine the identities of metameres in Drosophila. We have examined functional aspects of the homeotic gene teashirt by ectopically expressing its product under the control of a heat-shock promoter during embryogenesis. Our results confirm that the gene is critical for segmental identity of the larva. Under mild heat-shock conditions, the Teashirt protein induces an almost complete transformation of the labial to prothoracic segmental identity, when expressed before 8 hours of development. Positive autoregulation of the endogenous teashirt gene and the presence of Sex combs reduced protein in the labium explain this homeosis. Patterns in the maxillary and a more anterior head segment are partly replaced with trunk ones. Additional Teashirt protein has no effect on the identity of the trunk segments where the gene is normally expressed; teashirt function is overridden by some homeotic complex acting in the posterior trunk. Strong heat-shock regimes provoke novel defects: ectopic sense organs differentiate in posterior abdominal segments and trunk pattern elements differentiate in the ninth abdominal segment. Teashirt acts in a partially redundant way with certain homeotic complex proteins but co-operates with them for the establishment of specific segment types. We suggest that Teashirt and HOM-C proteins regulate common sets of downstream target genes.

Factors influencing T-DNA transfer in Agrobacterium-mediated transformation of sugarbeet

Agrobacterium-mediated transformation of sugarbeet (Beta vulgaris L.) was investigated for T-DNA transfer efficiency, using an intron containing β-glucuronidase gene. Preculture and coculture of hypocotyl and cotyledon explants with acetosyringone upon infection was studied. Seven seed lots which included several hundred genotypes, were screened, and were all susceptible to T-DNA transfer but with variable frequencies. Cotyledon explants were more readily transformed than those from hypocotyls. Transformation frequency of hypocotyl explants increased with acetosyringone. Both preculture treatment and acetosyringone improved transformation in cotyledon explants. Callus assayed with fluorometric procedures confirmed that the GUS gene had been transferred into sugarbeet.

Plant regeneration from sugarbeet (Beta vulgaris L.) hypocotyls cultured in vitro and flow cytometric nuclear DNA analysis of regenerants

A simple and reproducible protocol for regeneration of sugarbeet plants from hypocotyl expiants derived from 21 day-old-seedlings has been developed. Expiants were cultured on MS medium containing 0.3 mg/l N6-Benzylaminopurine, 0.1 mg/l Naphthalene Acetic Acid, 50 mg/l adenine and 0.5% (w/v) fructose, 0.5% (w/v) sucrose and 0.5% (w/v) glucose to induce the formation of organogenic calli (2.3% to 46.5% organogenic efficiency, depending on populations). Shoot formation was induced in callus cultures of more than 1600 genotypes. Physiological age affected culture response and different genotypes had different temperature optima for organogenesis. Following transfer of regenerated plants to the greenhouse, DNA determinations were made to study the stability of ploidy. Differences in ploidy were observed in plants derived from both shortterm and long-term callus cultures; diploid true-to-type regenerants were 96% and 83%, respectively, from shortterm and long-term callus cultures.

The gene teashirt is required for the development of Drosophila embryonic trunk segments and encodes a protein with widely spaced zinc finger motifs

We have discovered a reporter gene insertion that is expressed in the trunk region of Drosophila embryos. Genetic and molecular details of a new regulatory gene neighboring the reporter gene insertion, which we call teashirt (tsh), are described. In situ hybridization of a tsh probe to embryos shows that this gene is expressed in a way similar to the reporter gene. Mutations of tsh show that the gene is required for normal development of the ventral trunk region of embryos, which correlates with the spatial expression of the gene in the anteroposterior axis but not in the dorsoventral axis. Sequencing of a tsh cDNA shows that the putative protein possesses three distantly spaced CX2CX12HX5H zinc finger motifs.

Sequence and secondary structure of the central domain of Drosophila 26S rRNA: a universal model for the central domain of the large rRNA containing the region in which the central break may happen

An 890-bp sequence from the central region of Drosophila melanogaster 26S ribosomal DNA (rDNA) has been determined and used in an extensive comparative analysis of the central domain of the large subunit ribosomal RNA (lrRNA) from prokaryotes, organelles, and eukaryotes. An alignment of these different sequences has allowed us to precisely map the regions of the central domain that have highly diverged during evolution. Using this sequence comparison, we have derived a secondary structure model of the central domain of Drosophila 26S ribosomal RNA (rRNA). We show that a large part of this model can be applied to the central domain of lrRNA from prokaryotes, eukaryotes, and organelles, therefore defining a universal common structural core. Likewise, a comparative study of the secondary structure of the divergent regions has been performed in several organisms. The results show that, despite a nearly complete divergence in their length and sequence, a common structural core is also present in divergent regions. In some organisms, one or two of the divergent regions of the central domain are removed by processing events. The sequence and structure of these regions (fragmentation spacers) have been compared to those of the corresponding divergent regions that remain part of the mature rRNA in other species.

Hox-7, a mouse homeobox gene with a novel pattern of expression during embryogenesis

A new mouse Hox locus, Hox-7, is defined on chromosome 5 by a gene homologous to the Drosophila gene msh, which contains a homeobox sequence distantly related to that of Antennapedia. By in situ hybridization, expression of Hox-7 is detected in the neural fold of embryos, and also in cephalic neural crest. In addition, expression takes place in the developing valves of the embryonic heart. Mandibular and hyoid arches are strongly labelled, expression becoming restricted to the most distal part of mouth and face processes as development proceeds. Intense labelling is also observed in developing limb buds, in the distal region which has been shown to be essential for limb morphogenesis. The pronounced accumulation and regional localization of Hox-7 transcripts in mandibular and limb processes point to a specific morphogenetic role for this mouse homeobox gene.

Sequence studies on the soybean chloroplast 16S-23S rDNA spacer region : Comparison with other angiosperm sequences and proposal of a generalized RNA secondary structure model for the intergenic regions

The sequence of the ribosomal spacer region of soybean chloroplast DNA including the 3' end of the 16S rRNA gene, the tRNA(Ala) and tRNA(Ile) genes (but not their introns), the three intergenic regions and the 5' end of the 23S rRNA gene, has been determined. This sequence has been compared to corresponding regions of other angiosperm chloroplast DNAs. Secondary structure models are proposed for the entirety of the intergenic regions a, b and c and for the flanking rRNA regions. A model for a common secondary structure of the ribosomal spacer intergenic regions from chloroplasts of higher plants is proposed, which is supported by comparative evidence.

A remarkable amino acid sequence homology between a phage T4 tail fibre protein and ORF314 of phage lambda located in the tail operon

We have found that the amino acid (aa) sequence of the tip of phage T4 tail fibre (gene 37) shows more than 50% homology with the aa sequence predicted from an open reading frame (ORF314) in the phage lambda genome. ORF314 is near the 3' end of the late morphogenetic operon, beyond gene J coding for the lambda tail fibre. The homologous sequences are for the most part composed of repeated aa, the most remarkable of which is a Gly-X-His-Y-His motif where X and Y are small, uncharged aa, found six times in the T4 protein and seven times in the lambda ORF314 sequence.

Apple II PASCAL programs for molecular biologists

A collection of PASCAL programs designed for the Apple II microcomputer is presented. These DNA sequence handling and analysis programs are interactive and may be used even by people with no computer experience. The package allows the user to enter a sequence from the keyboard, to modify it, to generate the reverse complement, to create new sequences from parts of other ones, to display or print sequences in various formats. Some analysis tasks are also performed: Translation, searches for restriction sites, for homology with subsequences, either perfect or with an adjustable match percentage. In addition, two programs are also included: The first one allows DNA data sequences generated with a BASIC program under the CP/M operating system to be used with these PASCAL programs. The second one is designed for the automatic assembly of DNA fragments sequences, obtained with the GILBERT-MAXAM or M13 techniques, into a complete sequence.

Sequence homologies between eukaryotic 5.8S rRNA and the 5' end of prokaryotic 23S rRNa: evidences for a common evolutionary origin

The question of the evolutionary origin of eukaryotic 5.8S rRNA was re-examined after the recent publication of the E. coli 23S rRNA sequence (26,40). A region of the 23S RNA located at its 5' end was found to be approximately 50% homologous to four different eukaryotic 5.8S rRNAs. A computer comparison analysis indicates that no other region of the E. coli ribosomal transcription unit (greater than 5 000 nucleotides in length) shares a comparable homology with 5.8S rRNA. Homology between the 5' end of e. coli 23S and four different eukaryotic 5.8S rRNAs falls within the same range as that between E. coli 5S RNA from the same four eukaryotic species. All these data strongly suggest that the 5' end of prokaryotic 23S rRNA and eukaryotic 5.8S RNA have a common evolutionary origin. Secondary structure models are proposed for the 5' region of E. coli 23S RNA.